Exercise

# Simulating from the binomial and the normal

In this exercise you'll see for yourself whether the normal is a reasonable approximation to the binomial by simulating large samples from the binomial distribution and its normal approximation and comparing their histograms.

Instructions

**100 XP**

- Generate 100,000 draws from the Binomial(1000, .2) distribution. Save this as
`binom_sample`

. - Generate 100,000 draws from the normal distribution that approximates this binomial distribution, using the
`rnorm()`

function. (Remember that`rnorm()`

takes the mean and the standard deviation, which is the square root of the variance). Save this as`normal_sample`

. - Compare the two distributions with the
`compare_histograms()`

function. (Remember that this takes two arguments: the first and second vectors to compare).